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PLOS ONE  2014 

Childhood and Maternal Effects on Physical Health Related Quality of Life Five Decades Later: The British 1946 Birth Cohort

DOI: 10.1371/journal.pone.0088524

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Abstract:

Limited research has been done on the relationships between childhood factors and adult physical health related quality of life, with the underlying pathways not fully elucidated. Data from 2292 participants of the British 1946 birth cohort were used to examine the relationship of childhood characteristics and family environment with principal component summary (PCS) scores and the physical functioning (PF) subscale of the SF-36 at age 60–64 years. Impaired physical functioning was defined as the lowest quartile scores in the PF subscale. Childhood factors (father in manual social class versus non-manual (β = ?2.34; 95%CI: ?3.39, ?1.28) and poor maternal health versus good/excellent maternal health (β = ?6.18; ?8.78, ?3.57)) were associated with lower PCS scores at 60–64 years. Adult health behaviours (increasing BMI, lifelong smoking, and lower physical activity) at 53 years were identified as strong risk factors for lower PCS scores. After adjusting for these factors and education level (N = 1463), only poor maternal health remained unattenuated (β = ?5.07; ?7.62, ?2.51). Similarly poor maternal health doubled the risk of reporting impaired PF (Odds ratio = 2.45; 95%CI: 1.39, 4.30); serious illness in childhood (OR = 1.44; 1.01, 2.06) and lower educational level attained were also risk factors for impaired PF (N = 1526). While findings suggest the influence of father's social class on physical health related quality of life are mediated by modifiable adult social factors and health behaviours; health professionals should also be mindful of the inter-generational risk posed by poor maternal health on the physical health related quality of life of her offspring almost five decades later.

References

[1]  Kuh D, Cooper R, Richards M, Gale C, von Zglinicki T, et al. (2012) A life course approach to healthy ageing: the HALCyon programme. Public Health 126: 193–195. doi: 10.1016/j.puhe.2012.01.025
[2]  Power C, Kuh D, Morton S (2013) From developmental origins of adult disease to life course research on adult disease and aging: insights from birth cohort studies. Annu Rev Public Health 34: 7–28. doi: 10.1146/annurev-publhealth-031912-114423
[3]  Cooper R, Kuh D, Hardy R (2010) Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ 341: c4467. doi: 10.1136/bmj.c4467
[4]  den Ouden ME, Schuurmans MJ, Arts IE, van der Schouw YT (2011) Physical performance characteristics related to disability in older persons: a systematic review. Maturitas 69: 208–219. doi: 10.1016/j.maturitas.2011.04.008
[5]  Vermeulen J, Neyens JC, van Rossum E, Spreeuwenberg MD, de Witte LP (2011) Predicting ADL disability in community-dwelling elderly people using physical frailty indicators: a systematic review. BMC geriatrics 11: 33. doi: 10.1186/1471-2318-11-33
[6]  Birnie K, Cooper R, Martin RM, Kuh D, Sayer AA, et al. (2011) Childhood socioeconomic position and objectively measured physical capability levels in adulthood: a systematic review and meta-analysis. PLoS One 6: e15564. doi: 10.1371/journal.pone.0015564
[7]  Ware Jr JE, Gandek B, Kosinski M, Aaronson NK, Apolone G, et al. (1998) The equivalence of SF-36 summary health scores estimated using standard and country-specific algorithms in 10 countries: results from the IQOLA project. J Clin Epidemiol 51: 1167–1170. doi: 10.1016/s0895-4356(98)00108-5
[8]  Singh-Manoux A, Ferrie JE, Chandola T, Marmot M (2004) Socioeconomic trajectories across the life course and health outcomes in midlife: evidence for the accumulation hypothesis? Int J Epidemiol 33: 1072–1079. doi: 10.1093/ije/dyh224
[9]  Laaksonen M, Silventoinen K, Martikainen P, Rahkonen O, Pitkaniemi J, et al. (2007) The effects of childhood circumstances, adult socioeconomic status, and material circumstances on physical and mental functioning: a structural equation modelling approach. Ann Epidemiol 17: 431–439. doi: 10.1016/j.annepidem.2006.11.003
[10]  Alastalo H, von Bonsdorff MB, R?ikk?nen K, Pesonen A-K, Osmond C, et al. (2013) Early Life Stress and Physical and Psychosocial Functioning in Late Adulthood. PloS One 8: e69011. doi: 10.1371/journal.pone.0069011
[11]  Stafford M, Black S, Shah I, Hardy R, Pierce M, et al. (2013) Using a birth cohort to study ageing: representativeness and response rates in the National Survey of Health and Development. Eur J Ageing 10: 145–157. doi: 10.1007/s10433-013-0258-8
[12]  McHorney CA, Ware JE Jr, Lu JF, Sherbourne CD (1994) The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Med Care 32: 40–66. doi: 10.1097/00005650-199401000-00004
[13]  Ware JE Jr, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30: 473–483. doi: 10.1097/00005650-199206000-00002
[14]  Kuh D, Hardy R, Rodgers B, Wadsworth ME (2002) Lifetime risk factors for women's psychological distress in midlife. Soc Sci Med 55: 1957–1973. doi: 10.1016/s0277-9536(01)00324-0
[15]  Maggi S, Irwin LJ, Siddiqi A, Hertzman C (2010) The social determinants of early child development: an overview. J Paediatr Child Health 46: 627–635. doi: 10.1111/j.1440-1754.2010.01817.x
[16]  Clennell S, Kuh D, Guralnik JM, Patel KV, Mishra GD (2008) Characterisation of smoking behaviour across the life course and its impact on decline in lung function and all-cause mortality: evidence from a British birth cohort. J Epidemiol Community Health 62: 1051–1056. doi: 10.1136/jech.2007.068312
[17]  Jenkinson C (1999) Comparison of UK and US methods for weighting and scoring the SF-36 summary measures. J Public Health Med 21: 372–376. doi: 10.1093/pubmed/21.4.372
[18]  Ware J, Snow K, Kosinski M, Gandek B (1993) SF-36 Health Survey Manual and Interpretation Guide. Boston New England Medical Centre: The Health Institute, New England Medical Center.
[19]  Strand BH, Cooper R, Hardy R, Kuh D, Guralnik J (2011) Lifelong socioeconomic position and physical performance in midlife: results from the British 1946 birth cohort. Eur J Epidemiol 26: 475–483. doi: 10.1007/s10654-011-9562-9
[20]  Wilkins AJ, O'Callaghan MJ, Najman JM, Bor W, Williams GM, et al. (2004) Early childhood factors influencing health-related quality of life in adolescents at 13 years. J Paediatr Child Health 40: 102–109. doi: 10.1111/j.1440-1754.2004.00309.x
[21]  Hotopf M (2002) Childhood experience of illness as a risk factor for medically unexplained symptoms. Scand J Psychol 43: 139–146. doi: 10.1111/1467-9450.00279
[22]  Brazier JE, Harper R, Jones NM, O'Cathain A, Thomas KJ, et al. (1992) Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ 305: 160–164. doi: 10.1136/bmj.305.6846.160
[23]  Mishra GD, Hockey R, Dobson A (In press) A comparison of SF-36 summary measures of physical and mental health for women across the life course. Qual Life Res.

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